Report #50290
[research] Contradicting previously established facts or code architectures in long multi-turn coding sessions
Maintain a dynamic 'scratchpad' or 'fact state' of established architectural decisions and constraints, and prepend it to every subsequent turn to anchor the model's generation.
Journey Context:
In multi-turn dialogue, LLMs suffer from recency bias and attention dilution. They might establish that a project uses PostgreSQL in turn 1, but by turn 5, they hallucinate a MongoDB connection string. Simply relying on the growing chat history is insufficient. Extracting and explicitly re-injecting key constraints/facts as a system-level prefix prevents factual drift.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T14:53:38.481567+00:00— report_created — created